Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A human factors investigation of medication alerts: barriers to prescriber decision-making and clinical workflow.
44
Zitationen
5
Autoren
2009
Jahr
Abstract
Computerized medication alerts (e.g., drug-drug interaction alerts), which are intended to protect patient safety, should also be designed to support prescriber workflow. However, relatively few studies have examined the use of medication alerts during patient care processes. To assess barriers associated with the use of medication alerts, we directly observed medication prescribing during routine patient care. Prescribers (physicians, pharmacists, and nurse practitioners) were recruited from five outpatient primary care clinics at a major Midwestern Veterans Affairs Medical Center (VAMC). A total of 199 alerts were observed across 91 patients and 20 prescribers during normal patient care tasks. Through inductive qualitative analysis, we identified 15 barriers associated with medication alerts; herein, we describe five of the key barriers in detail. Results may be used to create alert redesigns, which have the potential to more fully support clinical workflow, prescriber decision-making, and patient safety.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.794 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.174 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.971 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.728 Zit.